| Presentation | 1998/5/13 Extraction of Important Words in the Document Set Atsunobu Koizumi, Takashi Okuda, Syuich Itoh, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes a method to extract important word from a document set using word frequency. We propose the notion of important word which represenets the inter-document characteristics within the given document set and the content of documents. The Kullback-Leibler distances between p(d|w), which is probability of a document conditioned by a word, and p(d) are calculated and the words are ranked by this quantity. Experimental results are shown and discussed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | important word / auto extraction / document analysis / divergence |
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| Committee | DE |
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| Conference Date | 1998/5/13(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extraction of Important Words in the Document Set |
| Sub Title (in English) | |
| Keyword(1) | important word |
| Keyword(2) | auto extraction |
| Keyword(3) | document analysis |
| Keyword(4) | divergence |
| 1st Author's Name | Atsunobu Koizumi |
| 1st Author's Affiliation | Graduate School of Information Systems, Univ.Electro-Communications() |
| 2nd Author's Name | Takashi Okuda |
| 2nd Author's Affiliation | Fujitsu |
| 3rd Author's Name | Syuich Itoh |
| 3rd Author's Affiliation | Graduate School of Information Systems, Univ.Electro-Communications |
| Date | 1998/5/13 |
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| Volume (vol) | vol.98 |
| Number (no) | 42 |
| Page | pp.pp.- |
| #Pages | 6 |
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